ONN
0.785 RMSE
A1 · Daily results
Lowest RMSE wins. Student groups and professor references compete together.
0.785 RMSE
0.793 RMSE
0.794 RMSE
RMSE over time · lower is better.
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Scores use hidden evaluation ratings; the input contains train + test. Accuracy is the percentage of exactly predicted ratings. These measurements support your analysis; code itself is not graded.
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| Rank | Status | Source | ||||
|---|---|---|---|---|---|---|
| 1 | ONN2026 group | 0.785 | 0.11 | 696.99 | Success | Repository98f09d5c |
| 2 | Group 162026 group | 0.793 | 0.28 | 317.98 | Success | Repositoryf4ef4bd2 |
| 3 | La piscine2026 group | 0.794 | 0.03 | 281.44 | Success | Repository143fbb0e |
| 4 | SnapCat2026 group | 0.795 | 0.00 | 32.09 | Success | Repository77fce7c3 |
| 5 | Breaking Bias2026 group | 0.796 | 0.16 | 45.39 | Success | Repository44934510 |
| 6 | HBA2026 group | 0.799 | 0.16 | 217.43 | Success | Repositoryccce2d56 |
| 7 | AcceleratedAerodynamicsYaris2026 group | 0.799 | 0.05 | 23.23 | Success | Repository83fb7176 |
| 8 | Group 132026 group | 0.803 | 0.21 | 20.07 | Success | Repository20181806 |
| 9 | rEcommeNderS2026 group | 0.805 | 0.10 | 261.64 | Success | Repositoryfa0ed35e |
| 10 | LHOOQ2026 group | 0.806 | 0.17 | 97.74 | Success | Repositoryd11ed80d |
| 11 | Le Groupe2026 group | 0.808 | 0.00 | 180.06 | Success | Repositoryead19fba |
| 12 | altf42026 group | 0.813 | 0.07 | 108.09 | Success | Repository386ed29e |
| 13 | Le groupe du fond : LiS2026 group | 0.815 | 0.22 | 111.94 | Success | Repositorycbdd3e2d |
| 14 | BestOf 2025 · 1Reference | 0.816 | 0.00 | 485.03 | Success | Frozen referenceab53d900 |
| 15 | umap reborn2026 group | 0.816 | 0.17 | 10.30 | Success | Repository53eb3147 |
| 16 | Group 312026 group | 0.818 | 0.35 | 73.82 | Success | Repository71b9fc84 |
| 17 | BANs2026 group | 0.824 | 0.09 | 64.67 | Success | Repository3b683043 |
| 18 | Group2026 group | 0.830 | 0.00 | 42.43 | Success | Repositoryc766e996 |
| 19 | BestOf 2025 · 2Reference | 0.830 | 0.02 | 5.18 | Success | Frozen reference55d5e886 |
| 20 | Blocus2026 group | 0.833 | 0.09 | 4.53 | Success | Repositorybe93cad8 |
| 21 | DauDau2026 group | 0.833 | 0.14 | 69.95 | Success | Repository28808e9a |
| 22 | blue2026 group | 0.839 | 0.11 | 5.53 | Success | Repositorycbdc587e |
| 23 | Rejoignez@Alexis@Hadrien2026 group | 0.841 | 0.10 | 8.14 | Success | Repository99f0c6ea |
| 24 | Group 282026 group | 0.843 | 0.04 | 322.34 | Success | Repository7a218cd5 |
| 25 | ocaml2026 group | 0.846 | 0.04 | 15.30 | Success | Repository28f3b0a2 |
| 26 | Cold Start Club2026 group | 0.846 | 0.16 | 4.98 | Success | Repositoryff7a1fbb |
| 27 | WorksOnMyMachine2026 group | 0.847 | 0.10 | 1.58 | Success | Repositoryd96878d4 |
| 28 | ACA2026 group | 0.848 | 0.06 | 52.69 | Success | Repository2ee3f127 |
| 29 | Group 42026 group | 0.848 | 0.00 | 112.15 | Success | Repositoryd0c4cef2 |
| 30 | AKE2026 group | 0.854 | 0.00 | 10.55 | Success | Repository1915adfa |
| 31 | The Outliers2026 group | 0.855 | 0.12 | 2.33 | Success | Repository3e48b680 |
| 32 | BestOf 2024 · 1Reference | 0.855 | 0.00 | 154.73 | Success | Frozen reference1204cccc |
| 33 | force-push2026 group | 0.857 | 0.08 | 4.73 | Success | Repositoryb5d550ff |
| 34 | data-doodlers2026 group | 0.858 | 0.06 | 22.21 | Success | Repository129d8fb5 |
| 35 | Antoine2026 group | 0.859 | 0.10 | 2.03 | Success | Repository255e0811 |
| 36 | OT dream team2026 group | 0.859 | 0.12 | 12.00 | Success | Repository39238336 |
| 37 | Group 372026 group | 0.860 | 0.06 | 38.64 | Success | Repository600270d1 |
| 38 | BestOf 2023 · 2Reference | 0.860 | 26.13 | 86.78 | Success | Frozen reference2fa4d93a |
| 39 | TinderCEOs2026 group | 0.875 | 0.01 | 7.54 | Success | Repository08a25dd9 |
| 40 | averageReference | 1.037 | 0.00 | 1.23 | Success | Frozen reference |
| 41 | randomReference | 1.822 | 14.18 | 0.92 | Success | Frozen reference |
| — | 1p2v2026 group | — | — | — | Error execution: RuntimeError: Process exited with code 1. Ratings loading... Ratings Loaded. Traceback (most recent call last): File "/work/generate.py", line 29, in <module> knn = SimilarityFusion(**bestParams).fit(trainData, movieData) ^^^^^^^^^ NameError: name 'trainData' is not defined | Repository2f53f56f |
| — | BestOf 2023 · 1Reference | — | — | — | Error execution: RuntimeError: Process exited with code 1. Ratings loading... Ratings Loaded. Traceback (most recent call last): File "/work/generate.py", line 38, in <module> model.load_best_models() ~~~~~~~~~~~~~~~~~~~~~~^^ File "/work/algorithms/folded_deep_matrix_factorization_imprv.py", line 327, in load_best_models m.load_state_dict(torch.load(abs_file_path)) ~~~~~~~~~~^^^^^^^^^^^^^^^ File "/env/lib/python3.13/site-packages/torch/serialization.py", line 1521, in load return _load( opened_zipfile, ...<3 lines>... **pickle_load_args, ) File "/env/lib/python3.13/site-packages/torch/serialization.py", line 2119, in _load result = unpickler.load() File "/env/lib/python3.13/site-packages/torch/_weights_only_unpickler.py", line 532, in load self.append(self.persistent_load(pid)) ~~~~~~~~~~~~~~~~~~~~^^^^^ File "/env/lib/python3.13/site-packages/torch/serialization.py", line 2083, in persistent_load typed_storage = load_tensor( dtype, nbytes, key, _maybe_decode_ascii(location) ) File "/env/lib/python3.13/site-packages/torch/serialization.py", line 2049, in load_tensor wrap_storage = restore_location(storage, location) File "/env/lib/python3.13/site-packages/torch/serialization.py", line 698, in default_restore_location result = fn(storage, location) File "/env/lib/python3.13/site-packages/torch/serialization.py", line 636, in _deserialize device = _validate_device(location, backend_name) File "/env/lib/python3.13/site-packages/torch/serialization.py", line 605, in _validate_device raise RuntimeError( ...<5 lines>... ) RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU. | Frozen reference8b6fb772 |
| — | BestOf 2024 · 2Reference | — | — | — | Error execution: RuntimeError: Process exited with code 1. /work/generate.py:57: DeprecationWarning: __array_wrap__ must accept context and return_scalar arguments (positionally) in the future. (Deprecated NumPy 2.0) ratings = np.where(~np.isnan(matrix[i]))[0] Ratings loading... Ratings Loaded. (array([False, True]), array([2974604, 63196])) Traceback (most recent call last): File "/work/generate.py", line 121, in <module> previous_pred = torch.zeros(ratings_full.shape).to(device) File "/env/lib/python3.13/site-packages/torch/cuda/__init__.py", line 412, in _lazy_init torch._C._cuda_init() ~~~~~~~~~~~~~~~~~~~^^ RuntimeError: No CUDA GPUs are available | Frozen reference7869cd93 |
| — | Gengis GAN2026 group | — | — | — | Error execution: RuntimeError: Process exited with code 1. WARNING:root:Unknown config key: n_iter. Ignoring. 2026-10-22 05:22:34 | INFO | <module> | Ratings loading... INFO:main:Ratings loading... 2026-10-22 05:22:34 | INFO | <module> | Ratings Loaded. INFO:main:Ratings Loaded. 2026-10-22 05:22:34 | INFO | observed_entries | Users 610 | Items 4980 | Observed entries 63196 INFO:main:Users 610 | Items 4980 | Observed entries 63196 Traceback (most recent call last): File "/work/generate.py", line 130, in <module> test_table = np.load("ratings_test.npy") File "/env/lib/python3.13/site-packages/numpy/lib/_npyio_impl.py", line 454, in load fid = stack.enter_context(open(os.fspath(file), "rb")) ~~~~^^^^^^^^^^^^^^^^^^^^^^^ FileNotFoundError: [Errno 2] No such file or directory: 'ratings_test.npy' | Repositorya056f091 |
| — | Group 272026 group | — | — | — | Pending | Repository pending |
| — | Group 72026 group | — | — | — | Error execution: RuntimeError: Process exited with code 1. Ratings loading... Ratings Loaded. Traceback (most recent call last): File "/work/generate.py", line 26, in <module> table = m.best_method(table) File "/work/methods.py", line 551, in best_method R, names = validate_input(R, names) ~~~~~~~~~~~~~~^^^^^^^^^^ File "/work/methods.py", line 452, in validate_input raise FileNotFoundError("Put the professor's corrected namesngenre2.npy " "beside generate.py or in data/. The old metadata is not used.") FileNotFoundError: Put the professor's corrected namesngenre2.npy beside generate.py or in data/. The old metadata is not used. | Repository4fce1315 |
| — | MassSurveillanceReadyFiltering2026 group | — | — | — | Error execution: RuntimeError: Process exited with code 1. Traceback (most recent call last): File "/work/generate.py", line 11, in <module> from cf.cli import ConvertParametersAction File "/work/cf/__init__.py", line 14, in <module> from .registry import MODELS, DEFAULT_PARAMS, GRIDS, build_model File "/work/cf/registry.py", line 28, in <module> "lightgcl": LightGCLRecommender, ^^^^^^^^^^^^^^^^^^^ NameError: name 'LightGCLRecommender' is not defined. Did you mean: 'LightGCNRecommender'? | Repositoryc0debea4 |
| — | Matcha2026 group | — | — | — | Pending | Repository pending |
| — | UsualGreenSundayEnjoyer2026 group | — | — | — | Error execution: RuntimeError: Process exited with code 1. Traceback (most recent call last): File "/work/generate.py", line 6, in <module> parser = argparse.ArgumentParser(description='Generate a completed ratings table.') ^^^^^^^^ NameError: name 'argparse' is not defined. Did you forget to import 'argparse'? | Repository2363e66b |
No matching group.
Run 20261022T030001Z · Execution limit: 1200 s per group. Student runs: 4 CPU threads · 12 GiB host memory · CPU only. Historical references use one A40 GPU when required. Dependency installation time is not included in the reported execution time.